Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXV / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol.

Format:

Book

Author/Creator:

Leonardis, Aleš.

Contributor:

Ricci, Elisa.

Roth, Ștefan.

Russakovsky, Olga.

Sattler, Torsten.

Varol, Gül.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15083

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Computer networks.

Machine learning.

Computers, Special purpose.

User interfaces (Computer systems).

Human-computer interaction.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Image Processing.

Computer Communication Networks.

Machine Learning.

Special Purpose and Application-Based Systems.

User Interfaces and Human Computer Interaction.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Image Processing.

Computer Communication Networks.

Machine Learning.

Special Purpose and Application-Based Systems.

User Interfaces and Human Computer Interaction.

Physical Description:

1 online resource (572 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Contents:

VideoMamba: Spatio-Temporal Selective State Space Model

Text to Layer-wise 3D Clothed Human Generation

Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing

Fully Sparse 3D Occupancy Prediction

Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data

CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field

Shifted Autoencoders for Point Annotation Restoration in Object Counting

PointLLM: Empowering Large Language Models to Understand Point Clouds

GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression

FlexAttention for Efficient High-Resolution Vision-Language Models

Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting

AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation

Spatially-Variant Degradation Model for Dataset-free Super-resolution

DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation

EAFormer: Scene Text Segmentation with Edge-Aware Transformers

Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects

DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration

LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-72698-7

OCLC:

1465273899